Lead AI Engineer
Core
Design, develop, and deploy advanced Generative AI solutions, RAG architectures, and intelligent agents for critical public sector environments.
Role type
Lead AI Engineer (Generative AI & AIOps)
Builds
End-to-end AI solutions, agentic architectures, and scalable AI pipelines for operational environments.
Domain
Public sector / IT Operations (AIOps)
Deliverable
production ML models | product features
Required skills
Generative AI solution design, RAG architecture implementation, intelligent agent development, ITSM/BMC/CMDB integration, LLMOps pipeline design, technical estimation for AI initiatives, Python/Java/.NET development, XML/JSON/REST services, microservices architecture, Docker/Kubernetes, messaging systems.
Preferred skills
Cloud platform certifications (Azure/AWS/GCP), DevOps tools and practices.
Technologies
Python, Java, .NET, XML, JSON, REST, Docker, Kubernetes, ITSM, BMC, CMDB, Vector databases, Prompting frameworks.
Responsibilities
Develop end-to-end AI solutions from functional documentation; Implement agentic components for production integration; Define and implement scalable AI architectures including vector databases and prompting flows; Design and implement LLMOps pipelines for reliable deployments; Collaborate on technical estimation considering execution costs and scalability; Design and implement AIOps solutions and intelligent agents for operational environments; Integrate AI solutions with ITSM/BMC, CMDB, and observability tools.
Seniority
Senior, hands-on IC with leadership responsibilities